Evidence map›Paper›PMID 25385934›Full record

ArticleClinical trials (London, England)2015

Evaluating surrogate endpoints, prognostic markers, and predictive markers: Some simple themes.

Stuart G Baker, Barnett S Kramer

Abstract read
In one paragraph

Article in Clinical trials (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Evaluating Markers for Guiding Treatment.Journal of the National Cancer Institute · 2016
    Article
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Stuart G BakerDivision of Cancer Prevention, National Cancer Institute, Bethesda MD, USA sb16i@nih.gov.
Barnett S KramerDivision of Cancer Prevention, National Cancer Institute, Bethesda MD, USA.

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

backgroundA surrogate endpoint is an endpoint observed earlier than the true endpoint (a health outcome) that is used to draw conclusions about the effect of treatment on the unobserved true endpoint. A prognostic marker is a marker for predicting the risk of an event given a control treatment; it informs treatment decisions when there is information on anticipated benefits and harms of a new treatment applied to persons at high risk. A predictive marker is a marker for predicting the effect of treatment on outcome in a subgroup of patients or study participants; it provides more rigorous information for treatment selection than a prognostic marker when it is based on estimated treatment effects in a randomized trial.

methodsWe organized our discussion around a different theme for each topic.

results"Fundamentally an extrapolation" refers to the non-statistical considerations and assumptions needed when using surrogate endpoints to evaluate a new treatment. "Decision analysis to the rescue" refers to use the use of decision analysis to evaluate an additional prognostic marker because it is not possible to choose between purely statistical measures of marker performance. "The appeal of simplicity" refers to a straightforward and efficient use of a single randomized trial to evaluate overall treatment effect and treatment effect within subgroups using predictive markers.

conclusionThe simple themes provide a general guideline for evaluation of surrogate endpoints, prognostic markers, and predictive markers.

Indexed as

Outcome Assessment, Health CareAlgorithmsBiomarkersData Interpretation, StatisticalForecastingHumansBiomarkersDecision analysispredictive markerprincipal stratificationprognostic markerrandomized trialrelative utility curvesubgrouptreatment selection marker

Identifiers

PMID25385934
PMCPMC4451440

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.